Site Reliability Engineer III- Production Management

JPMorgan Chase & Co.
Hope, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Hope, United States of America

Tech stack

Java
.NET
Artificial Intelligence
Amazon Web Services (AWS)
Android
Software Applications
Cloud Computing
Continuous Delivery
Continuous Integration
Data Validation
Distributed Systems
Python
Operational Data Store
Reliability Engineering
Site Reliability Engineering Practices
Data Streaming
Datadog
Spring-boot
Mttr
Low Latency
Kafka
Programming Languages

Job description

  • Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate, supporting adoption of site reliability engineering best practices within your team
  • Collaborates with other software engineers and teams to design, develop, test, and implement deployment and reliability approaches using automated continuous integration and continuous delivery pipelines
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
  • Continuously monitor operational signals (alerts, dashboards, service health indicators, and desk/user feedback) and drive rapid engagement, ownership, and coordination when issues emerge.
  • Enhance production observability and reliability by improving instrumentation, dashboards, and alert quality; use trend and incident data to reduce noise, prevent recurrence, and measurably lower MTTR and incident frequency.
  • Own and improve the support operating model: maintain/run runbooks, ensure clean handoffs and escalation paths, manage shift coverage, and drive disciplined post-incident follow-through (actions, owners, due dates).
  • Partner with engineering and adjacent service owners to drive root-cause fixes and stronger change/release standards, identify cross-service dependencies early, and build lightweight automation/self-service tooling to reduce manual steps and speed repeatable triage.
  • Lead L1/L2 production support using SRE practices: quickly triage incidents, investigate likely causes, apply safe mitigations/workarounds, and provide timely, clear stakeholder updates through to resolution.
  • Applies enterprise-authorized AI capabilities within the work environment to identify patterns in operational signals that indicate reliability risk or recurring toil, prioritizing reuse-first improvements tied to SLO outcomes.

Requirements

  • Formal training or certification on site reliability engineering concepts and 3+ years applied experience
  • Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform
  • Proficient in at least one programming language such as Python, Java/Spring Boot, and .Net
  • Working knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows with strong validation habits and awareness of data sensitivity
  • Ability to validate AI-assisted operational recommendations before applying changes, escalating when uncertain and following data sensitivity requirements
  • Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, AI, Android, etc.)
  • Practical cloud experience in AWS supporting production services (visibility/troubleshooting, deployments, and operational hygiene)
  • Ability to write code to automate support work (e.g., Python, Java, or similar) and reduce operational toil
  • Experience operating in time-sensitive environments (market hours or similar), with strong incident discipline and stakeholder communication
  • Strong debugging fundamentals across distributed systems (logs/metrics, latency analysis, dependency failures, data issues)

Preferred qualifications, capabilities, and skills

  • Prior Markets experience, especially pricing / risk / market data support (Fixed Income a plus)
  • Experience with Datadog (metrics/logs/traces), alert tuning, dashboards, and basic SLO concepts
  • Familiarity with messaging/streaming patterns (Kafka/MQ) and data quality checks in execution and pricing pipelines
  • Experience applying AI-assisted tooling to reduce support toil

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the company

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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